added multi index search

rag_app/multi_index_search.py

@@ -0,0 +1,35 @@
+from langchain_core.vectorstores import VectorStoreRetriever
+from langchain_core.documents import Document
+from typing import List, Dict
+
+
+
+def multi_index_search(
+    vector_Store_retrievers:List[VectorStoreRetriever],
+    query:str,
+        ) -> List[Dict[VectorStoreRetriever,List[str]]]:
+    """
+    
+    ## Summary
+    Search a set of vector stores and returns a list of `Documents` for each vector store 
+    in a query
+    
+    ## Arguements
+    vector_Store_retrievers (List[VectorStoreRetriever]): A set of VectorStoreRetriever
+    query (str): the query
+    
+    ## Return 
+    List[Dict[VectorStoreRetriever,List[str]]]
+    """
+    
+    multi_indices_search_list = []
+    for i in vector_Store_retrievers:
+        results = i.invoke(query)
+        data = {i : results }
+        multi_indices_search_list.append(data)
+    
+
+    return multi_indices_search_list
+
+if __name__ == "__main__":
+    pass